Software · head to head
CoreWeave vs Replicate
The short version
- Only Replicate has a free tier, so it costs nothing to try first.
- Each has a real cost: CoreWeave gPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand; Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- They diverge on capability: CoreWeave covers NVIDIA H100/A100, Replicate covers Model hosting.
Where they differ
Only the attributes on which CoreWeave and Replicate actually diverge.
Identical on both: pricing model (usage-based), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in CoreWeave
- NVIDIA H100/A100
- Kubernetes native
- High bandwidth
- Object storage
- Kubernetes
- Terraform
- Cloud APIs
Only in Replicate
- Model hosting
- Simple API
- Auto-scaling
- Custom models
- REST API
- Python client
- JavaScript client
- Api support
Both cover
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
CoreWeave
- Renting GPU compute for model training and inferencenot Replicate
- Running large scale AI workloads without buying hardwarenot Replicate
Replicate
- Running open source machine learning models through a hosted API without managing GPUsnot CoreWeave
- Deploying and serving a custom or fine tuned model on rented GPU hardwarenot CoreWeave
- Per second billed batch image, video and language model inferencenot CoreWeave
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
CoreWeave
- GPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
- Spot pricing is roughly 40% of on demand, at $19.71 an hour for the same H100 node, so predictable capacity carries a large premium
- The newest hardware carries no published price and requires contacting sales
- Discounts of up to 60% require committed usage agreements negotiated with sales
- Only the GH200 is offered as a single GPU instance
Replicate
- Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
- The pricing page publishes no free tier allowance
Pricing, plan by plan
CoreWeave
$0.35/per-hour- Standard$0.35/per-hour
- Various GPU types
- Kubernetes
- EnterpriseFree
- Dedicated clusters
- Custom solutions
Replicate
Free- FreeFree
- Limited free credits
- Public models
- Pay-per-use$0.000225/per-second
- All models
- Private models
Which should you pick?
Choose CoreWeave if
- You need nvidia h100/a100.
- You work on Cloud.
- You also want kubernetes native.
Choose Replicate if
- You need model hosting.
- You want to start without paying.
- You work on Api, Cloud.
- You also want simple api.
Questions people ask
- Is CoreWeave or Replicate better?
- Neither clearly leads. CoreWeave starts at $0.35/per-hour and Replicate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, CoreWeave or Replicate?
- Replicate has a free tier; the other does not. Paid plans start at $0.35/per-hour for CoreWeave and Free for Replicate.
- Does CoreWeave or Replicate run on more platforms?
- CoreWeave runs on Cloud. Replicate runs on Api, Cloud.
- Can I use Replicate for free?
- Yes. Replicate has a free tier, so you can try it without paying. CoreWeave starts at $0.35/per-hour.
- What is CoreWeave best used for?
- CoreWeave is most often used for renting gpu compute for model training and inference, running large scale ai workloads without buying hardware. Of those, renting gpu compute for model training and inference and running large scale ai workloads without buying hardware are not what Replicate is typically brought in for.
- What can CoreWeave do that Replicate cannot?
- CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage. Replicate covers Model hosting, Simple API, Auto-scaling, Custom models. Both handle Cloud support.